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license: apache-2.0

GUI Grounding Pre-training Data for OS-ATLAS

This document describes the acquisition of the pre-training data used by OS-ATLAS.

Notes: In GUI grounding data, the position of the target element is recorded in the bbox key, represented by [left, top, right, bottom]. Each value is a [0, 1] decimal number indicating the ratio of the corresponding position to the width or height of the image.

The data we released is divided into three domains: mobile, desktop and web.

All annotation data are stored in JSON format and each sample contains:

  • img_filename: the interface screenshot file
  • instruction: human instruction
  • bbox: the bounding box of the target element corresponding to instruction

Some data also contains a data_type, which records the type of an element in its structured information, if it can be obtained.

Mobile data

The data is stored under the mobile_domain directory. Our mobile grounding data consists of four parts。

AMEX

Android Multi-annotation EXpo (AMEX) is a comprehensive, large-scale dataset designed for generalist mobile GUI-control agents [1].

The annotation data are stored in

-'amex_raw.json'

Due to the single file size limitation of Hugging Face datasets, we stored the Amex images in zip format and split them into several sub-files.

  • amex_images_part_aa
  • amex_images_part_ab
  • amex_images_part_ac

You need to first merge these split files back into the original file and then extract the contents.

cat amex_images_part_* > amex_images.zip
7z x amex_images.zip -aoa -o/path/to/extract/folder

UIBert

This is a dataset extended from Rico for two tasks: similar UI component retrieval and referring expression component retrieval [2].

The annotation data are stored in

  • uibert_raw.json

The UIBert images are stored in

  • UIBert.zip

Widget Captioning

Widget Captioning data are collected by [2].

The annotation data are stored in

-'amex_raw.json'